GAIG Game AI Research Group @ QMUL

Exploring User Motor Behaviour in Bimanual Interactive Video Games

2019
Perez, N Pena and Tokarchuk, Laurissa and Burdet, Etienne and Farkhatdinov, Ildar

Abstract

Video games have proved very valuable in rehabilitation technologies. They guide therapy and keep patients engaged and motivated. However, in order to realize their full potential, a good understanding is required of the players' motor control. In particular, little is known regarding player behaviour in tasks demanding bimanual interaction. In this work, an experiment was designed to improve the understanding of such tasks. A driving game was developed in which players were asked to guide a differential wheeled robot (depicted as a rocket) along a trajectory. The rocket could be manipulated by using an Xbox controller's triggers, each supplying torque to the corresponding side of the robot. Such a task is redundant, i.e. there exists an infinite number of input combinations to yield a given outcome. This allows the player to strategize according to their own preference. 10 participants were recruited to play this game and their input data was logged for subsequent analysis. Two different motor strategies were identified: an 'intermittent' input pattern versus a 'continuous' one. It is hypothesized that the choice of behaviour depends on motor skill and minimization of effort and error. Further testing is necessary to determine the exact relationship between these aspects.
URL: https://ieeexplore.ieee.org/abstract/document/8848051

Cite this work

@inproceedings{perez2019exploring,
author= {Perez, N Pena and Tokarchuk, Laurissa and Burdet, Etienne and Farkhatdinov, Ildar},
title= {{Exploring User Motor Behaviour in Bimanual Interactive Video Games}},
year= {2019},
booktitle= {{IEEE Conference on Games (COG)}},
pages= {1--7},
url= {https://ieeexplore.ieee.org/abstract/document/8848051},
abstract= {Video games have proved very valuable in rehabilitation technologies. They guide therapy and keep patients engaged and motivated. However, in order to realize their full potential, a good understanding is required of the players' motor control. In particular, little is known regarding player behaviour in tasks demanding bimanual interaction. In this work, an experiment was designed to improve the understanding of such tasks. A driving game was developed in which players were asked to guide a differential wheeled robot (depicted as a rocket) along a trajectory. The rocket could be manipulated by using an Xbox controller's triggers, each supplying torque to the corresponding side of the robot. Such a task is redundant, i.e. there exists an infinite number of input combinations to yield a given outcome. This allows the player to strategize according to their own preference. 10 participants were recruited to play this game and their input data was logged for subsequent analysis. Two different motor strategies were identified: an 'intermittent' input pattern versus a 'continuous' one. It is hypothesized that the choice of behaviour depends on motor skill and minimization of effort and error. Further testing is necessary to determine the exact relationship between these aspects.},
}

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